Information overload has created an accute need for summarization. Typically, the same information is described by many different online documents. Hence, summaries that synthesize common information accross documents and emphasize the differences significantly help readers in rapidly digesting information. At the core of the summarization solutions offered by Language Computer Corporation stays our proprietary methodology of identifying the relevant information to be included in summaries. We taylor our summarization solutions to generate informative and generic summaries of large documents or document collections or to create summaries that respond to specific queries of questions.

Summaries may be as long as a few words or as long as a few paragraphs. The granularity and size of summaries are dictated both by applications (e.g. text categorization, information retrieval) and by functionality (e.g. responding complex questions). Summaries are important building blocks of knowledge management systems, bridging ontological representations with on-line documents. Our summarization solutions combine in a novel way statistical natural language processing techniques with knowledge-based methods of processing texts and dialogues.